Question 1

Tests for ordinal data

Accepted Answer

A) are nonparametric tests 
B) do not measure variance to test for significance 
C) minimize problems associated with having outliers in a data set 
D) all of the above 
A) are nonparametric tests 
B) do not measure variance to test for significance 
C) minimize problems associated with having outliers in a data set 
D) all of the above

Question 2

Each of the following is an appropriate test for ordinal data,except

Accepted Answer

A) the Mann-Whitney U test 
B) the chi-square goodness-of-fit test 
C) the one-sample sign test 
D) the Friedman test 
A) the Mann-Whitney U test 
B) the chi-square goodness-of-fit test 
C) the one-sample sign test 
D) the Friedman test

Question 3

For a Wilcoxon signed-ranks T test,we decide to reject the null hypothesis when T is larger than the critical value.

Accepted Answer

A) True 
 B)False

Question 4

Variance can't be used to analyze ordinal scale data,because these data do not meaningfully convey distance.

Accepted Answer

A) True 
 B)False

Question 5

When the null hypothesis is true and n is greater than or equal to 5 per group,the test statistic for the Friedman test is approximately distributed as a

Accepted Answer

A) t-distribution 
B) F-distribution 
C) normal distribution 
D) chi-square distribution 
A) t-distribution 
B) F-distribution 
C) normal distribution 
D) chi-square distribution

Question 6

When the test statistic for the Friedman test is equal to or smaller than the critical value,we reject the null hypothesis.

Accepted Answer

A) True 
 B)False

Question 7

The test statistic (x)for the sign test is equal to

Accepted Answer

A) variability attributed to the groups divided by variability attributed to error 
B) the number of pluses or minuses,whichever occurs most often 
C) the number of scores that are less than or equal to the median value 
D) the number of positive scores divided by the number of negative scores 
A) variability attributed to the groups divided by variability attributed to error 
B) the number of pluses or minuses,whichever occurs most often 
C) the number of scores that are less than or equal to the median value 
D) the number of positive scores divided by the number of negative scores

Question 8

A researcher compares the ranks in four groups and computes H = 6.55 for the Kruskal-Wallis H test.What is the decision for this test?

Accepted Answer

A) Retain the null hypothesis. 
B) Reject the null hypothesis. 
C) There is not enough information to answer this question. 
A) Retain the null hypothesis. 
B) Reject the null hypothesis. 
C) There is not enough information to answer this question.

Question 9

The Friedman test is used as a nonparametric alternative to which parametric test?

Accepted Answer

A) related samples t-test 
B) two-independent sample t-test 
C) one-way between-subjects ANOVA 
D) one-way within-subjects ANOVA 
A) related samples t-test 
B) two-independent sample t-test 
C) one-way between-subjects ANOVA 
D) one-way within-subjects ANOVA

Question 10

Which of the following is not a step to average tied ranks?

Accepted Answer

A) Compute the mean of the tied ranks. 
B) Assume the ranks are in order. 
C) Rank each score by its effect size. 
D) Shift the remaining ranks accordingly. 
A) Compute the mean of the tied ranks. 
B) Assume the ranks are in order. 
C) Rank each score by its effect size. 
D) Shift the remaining ranks accordingly.

Question 11

When the null hypothesis is true and n is greater than or equal to 5 per group,the test statistic H is approximately distributed as a chi-square distribution.

Accepted Answer

A) True 
 B)False

Question 12

The Wilcoxon signed-ranks T test is used as a nonparametric alternative to which parametric test?

Accepted Answer

A) one-sample t-test 
B) two-independent sample t-test 
C) related samples t-test 
D) both A and C 
A) one-sample t-test 
B) two-independent sample t-test 
C) related samples t-test 
D) both A and C

Question 13

Tests for ordinal data are regarded as nonparametric tests.

Accepted Answer

A) True 
 B)False

Question 14

Nonparametric tests are associated with less power to detect an effect when the data are skewed in the population.

Accepted Answer

A) True 
 B)False

Question 15

The Friedman test compares differences in the sum of ranks in two or more ________ groups.

Accepted Answer

A) independent 
B) related 
C) significant 
D) mature 
A) independent 
B) related 
C) significant 
D) mature

Question 16

A professor ranks the grades of students in each of three sections of a statistics course.He computes H = 6.83 for the Kruskal-Wallis H test to test for differences between the sections.What is the decision for this test?

Accepted Answer

A) Retain the null hypothesis. 
B) Reject the null hypothesis. 
C) There is not enough information to answer this question. 
A) Retain the null hypothesis. 
B) Reject the null hypothesis. 
C) There is not enough information to answer this question.

Question 17

What is the null hypothesis for a Mann-Whitney U test?

Accepted Answer

A) The number of scores above and below the median are equal. 
B) The ranks in two groups are equally dispersed. 
C) The mean differences between two groups are equal. 
D) The ranks in two groups are equal to 0. 
A) The number of scores above and below the median are equal. 
B) The ranks in two groups are equally dispersed. 
C) The mean differences between two groups are equal. 
D) The ranks in two groups are equal to 0.

Question 18

The null hypothesis for the Kruskal-Wallis H test is that scores above and below the median are equal.

Accepted Answer

A) True 
 B)False

Question 19

A researcher computes a one-sample sign test in which the number of pluses is 8,the number of minuses is 2,and the number of scores equal to the median is 1.The test statistic (x)for the sign test is equal to

Accepted Answer

A) 1 
B) 2 
C) 8 
D) There is not enough information to answer this question. 
A) 1 
B) 2 
C) 8 
D) There is not enough information to answer this question.

Question 20

For the Mann-Whitney U test,we reject the null hypothesis when

Accepted Answer

A) values of U are greater than or equal to the critical value 
B) values of U are less than or equal to .05 
C) values of U are less than or equal to the critical value 
D) values of U are closer to ±1.0 
A) values of U are greater than or equal to the critical value 
B) values of U are less than or equal to .05 
C) values of U are less than or equal to the critical value 
D) values of U are closer to ±1.0

Tests for ordinal data

Each of the following is an appropriate test for ordinal data,except

For a Wilcoxon signed-ranks T test,we decide to reject the null hypothesis when T is larger than the critical value.

Variance can't be used to analyze ordinal scale data,because these data do not meaningfully convey distance.

When the null hypothesis is true and n is greater than or equal to 5 per group,the test statistic for the Friedman test is approximately distributed as a

When the test statistic for the Friedman test is equal to or smaller than the critical value,we reject the null hypothesis.

The test statistic (x)for the sign test is equal to

A researcher compares the ranks in four groups and computes H = 6.55 for the Kruskal-Wallis H test.What is the decision for this test?

The Friedman test is used as a nonparametric alternative to which parametric test?

Which of the following is not a step to average tied ranks?

When the null hypothesis is true and n is greater than or equal to 5 per group,the test statistic H is approximately distributed as a chi-square distribution.

The Wilcoxon signed-ranks T test is used as a nonparametric alternative to which parametric test?

Tests for ordinal data are regarded as nonparametric tests.

Nonparametric tests are associated with less power to detect an effect when the data are skewed in the population.

The Friedman test compares differences in the sum of ranks in two or more ________ groups.

A professor ranks the grades of students in each of three sections of a statistics course.He computes H = 6.83 for the Kruskal-Wallis H test to test for differences between the sections.What is the decision for this test?

What is the null hypothesis for a Mann-Whitney U test?

The null hypothesis for the Kruskal-Wallis H test is that scores above and below the median are equal.

A researcher computes a one-sample sign test in which the number of pluses is 8,the number of minuses is 2,and the number of scores equal to the median is 1.The test statistic (x)for the sign test is equal to

For the Mann-Whitney U test,we reject the null hypothesis when

Introduction to Statistics

Summarizing Data: Frequency Distributions in

Summarizing Data: Central Tendency

Summarizing Data: Variability

Probability, Normal Distributions, and Z Scores

Characteristics of the Sample Mean

Hypothesis Testing: Significance, Effect Size, and Power

Testing Means: One-Sample T Test With Confidence Intervals

Testing Means: Two- Independent-Sample T Test With Confidence Intervals

Testing Means: Related-Samples T Test With Confidence Intervals

One-Way Analysis of Variance: Between- Subjects and Within- Subjects Repeated- Measures Designs

Two-Way Analysis of Variance: Between-Subjects Factorial Design

Correlation and Linear Regression

Chi-Square Tests: Goodness of Fit and the Test for Independence

Chi-Square Tests: Goodness-of-Fit and Independence

Understanding Regression Analysis

Understanding Correlation Coefficients in Statistical Analysis

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Exam 15: Nonparametric Tests for Ordinal Data: Understanding and Interpretation

Tests for ordinal data

Each of the following is an appropriate test for ordinal data,except

For a Wilcoxon signed-ranks T test,we decide to reject the null hypothesis when T is larger than the critical value.

Variance can't be used to analyze ordinal scale data,because these data do not meaningfully convey distance.

When the null hypothesis is true and n is greater than or equal to 5 per group,the test statistic for the Friedman test is approximately distributed as a

When the test statistic for the Friedman test is equal to or smaller than the critical value,we reject the null hypothesis.

The test statistic (x)for the sign test is equal to

A researcher compares the ranks in four groups and computes H = 6.55 for the Kruskal-Wallis H test.What is the decision for this test?

The Friedman test is used as a nonparametric alternative to which parametric test?

Which of the following is not a step to average tied ranks?

When the null hypothesis is true and n is greater than or equal to 5 per group,the test statistic H is approximately distributed as a chi-square distribution.

The Wilcoxon signed-ranks T test is used as a nonparametric alternative to which parametric test?

Tests for ordinal data are regarded as nonparametric tests.

Nonparametric tests are associated with less power to detect an effect when the data are skewed in the population.

The Friedman test compares differences in the sum of ranks in two or more ________ groups.

A professor ranks the grades of students in each of three sections of a statistics course.He computes H = 6.83 for the Kruskal-Wallis H test to test for differences between the sections.What is the decision for this test?

What is the null hypothesis for a Mann-Whitney U test?

The null hypothesis for the Kruskal-Wallis H test is that scores above and below the median are equal.

A researcher computes a one-sample sign test in which the number of pluses is 8,the number of minuses is 2,and the number of scores equal to the median is 1.The test statistic (x)for the sign test is equal to

For the Mann-Whitney U test,we reject the null hypothesis when

Introduction to Statistics

Summarizing Data: Frequency Distributions in

Summarizing Data: Central Tendency

Summarizing Data: Variability

Probability, Normal Distributions, and Z Scores

Characteristics of the Sample Mean

Hypothesis Testing: Significance, Effect Size, and Power

Testing Means: One-Sample T Test With Confidence Intervals

Testing Means: Two- Independent-Sample T Test With Confidence Intervals

Testing Means: Related-Samples T Test With Confidence Intervals

One-Way Analysis of Variance: Between- Subjects and Within- Subjects Repeated- Measures Designs

Two-Way Analysis of Variance: Between-Subjects Factorial Design

Correlation and Linear Regression

Chi-Square Tests: Goodness of Fit and the Test for Independence

Chi-Square Tests: Goodness-of-Fit and Independence

Understanding Regression Analysis

Understanding Correlation Coefficients in Statistical Analysis

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